S. Sakai
- Plant Science top 10%
- Food Science top 5%
- Molecular Biology
- Endocrinology top 5%
- Cell Biology
- Co-authors
- Tomoaki WaukeSatoshi MorozumiHiroshi HITOKOTOHiroshi KurataHiroshi Zen‐YōjiT. ItoYasuo KudoYasuo Kudoh
- Topics
- Vibrio bacteria research studies (5 papers)Mycotoxins in Agriculture and Food (3 papers)Essential Oils and Antimicrobial Activity (2 papers)
- Journals
- Applied and Environmental MicrobiologyThe Journal of Infectious DiseasesJournal of Applied Microbiology
- Partner nations
- JapanUnited StatesHungary
In The Last Decade
S. Sakai
11 papers receiving 329 citations
Peers
Comparison fields: 5 of 67
- Plant Science 205
- Food Science 159
- Molecular Biology 76
- Endocrinology 72
- Cell Biology 68
Countries citing papers authored by S. Sakai
This map shows the geographic impact of S. Sakai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Sakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sakai more than expected).
Fields of papers citing papers by S. Sakai
This network shows the impact of papers produced by S. Sakai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Sakai. The network helps show where S. Sakai may publish in the future.
Co-authorship network of co-authors of S. Sakai
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sakai. A scholar is included among the top collaborators of S. Sakai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Sakai. S. Sakai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 202 | |
| 7 | [Development of a sensitive serological assay based on reversed passive hemagglutination for detection of enteropathogenic toxin (kanagawa hemolysin) of Vibrio parahaemolyticus, and re-evaluation of the toxin producibility of isolates from various sources (author's transl)]. | 7 |
| 8 | 70 | |
| 9 | Antigenic schema and epidemiology of Vibrio parahaemolyticus. | 17 |
| 10 | Isolation and identification of Vibrio parahaemolyticus from clinical specimens. | 9 |
| 11 | 48 |
About S. Sakai
S. Sakai is a scholar working on Endocrinology, Food Science and Cell Biology, having authored 11 papers that have together received 402 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (5 papers), Mycotoxins in Agriculture and Food (3 papers) and Essential Oils and Antimicrobial Activity (2 papers). The work is most often cited by research in Endocrinology (72 citations), Food Science (159 citations) and Plant Science (205 citations). S. Sakai has collaborated with scholars based in Japan, United States and Hungary. Frequent co-authors include Tomoaki Wauke, Satoshi Morozumi, Hiroshi HITOKOTO, Hiroshi Kurata, Hiroshi Zen‐Yōji, T. Ito, Yasuo Kudo, Yasuo Kudoh, Dana L. Swenson and Toshio Itoh. Their work appears in journals such as Applied and Environmental Microbiology, The Journal of Infectious Diseases and Journal of Applied Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.